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Comparing Commodity SMP System Software with a Matrix Multiplication Benchmark
Montb?liard-Sochaux, France February 15-February 17
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PDP.2006.2614th Euromicro International Conferen ...
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Georgios Tsilikas, University of Essex
Martin Fleury, University of Essex
Commodity symmetric multiprocessors (SMPs), though originally intended for transaction processing, because of their availability, are now used for numerical analysis applications in SMP clusters. Dense matrix multiplication is a suitable benchmark as it exposes memory access issues. Various block-based algorithms are compared across Windows 2000 and Linux variants with gcc compiler versions. Differences in compilers may explain differential performance between algorithms.
Citation:
Georgios Tsilikas, Martin Fleury, "Comparing Commodity SMP System Software with a Matrix Multiplication Benchmark," pdp, pp.149-152, 14th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP'06), 2006
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